La ciencia avanza, pero el temor a la tecnología de unos y el afán de encontrar chivos expiatorios de otros no cambia en la humanidad.

Sarai Aguilar. Inteligencia artificial, ¿temor irracional?

Artificial General Intelligence gets a new definition: This episode introduces Google DeepMind’s paper, “Levels of AGI: Operationalizing Progress on the Path to AGI”. Hear how its authors have organized narrow and general AI into hierarchical categories defined by human capability, from Level 0 (no AI) and Level 1 (equal to or somewhat better than an unskilled human) to Level 5 (able to outperform 100% of humans). A scary thought? Or a vision of a better future? Host Jon Krohn details the strengths of this research in this Five-Minute Friday.

Additional materials: www.superdatascience.com/748

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

The Super Data Science Podcast: Machine Learning | AI | Success

748: The Five Levels of AGI

AlphaGeometry, intuitive AI, and geometric deduction: In this week’s Five-Minute Friday, Super Data Science host Jon Krohn looks into developments from DeepMind, Google’s ground-breaking AI lab, and explores how this is a critical step towards a future of broadly accessible AI solutions across scientific disciplines.

Additional materials: www.superdatascience.com/756

Interested in sponsoring a SuperDataScience Podcast episode? Visit passionfroot.me/superdatascience for sponsorship information.

756: AlphaGeometry: AI is Suddenly as Capable as the Brightest Math Minds

Dr. Rosanne Liu, Research Scientist at Google DeepMind and co-founder of the ML Collective, shares her journey and the mission to democratize AI research. She explains her pioneering work on intrinsic dimensions in deep learning and the advantages of curiosity-driven research. Jon and Dr. Liu also explore the complexities of understanding powerful AI models, the specifics of character-aware text encoding, and the significant impact of diversity, equity, and inclusion in the ML community. With publications in NeurIPS, ICLR, ICML, and Science, Dr. Liu offers her expertise and vision for the future of machine learning.

Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:
• How the ML Collective came about [03:31]
• The concept of a failure CV [16:12]
• ML Collective research topics [19:03]
• How Dr. Liu's work on the “intrinsic dimension” of deep learning models inspired the now-standard LoRA approach to fine-tuning LLMs [21:28]
• The pros and cons of curiosity-driven vs. goal-driven ML research [29:08]
• Discussion on Dr. Liu's research and papers [33:17]
• Character-aware vs. character-blind text encoding [54:59]
• The positive impacts of diversity, equity, and inclusion in the ML community [57:51]

Additional materials: www.superdatascience.com/797

797: Deep Learning Classics and Trends, with Dr. Rosanne Liu

Good morning! It is February fifth, twenty twenty-five, and welcome to AI Tech News Today, your go-to source for the latest in artificial intelligence developments. Let’s dive into today's headlines!

Hugging Face set to challenge OpenAI with an open-source deep research tool. Hugging Face has unveiled an initiative called Open Deep Research aimed at replicating OpenAI's deep research tool. This open-source project, led by company co-founder Thomas Wolf, utilizes OpenAI's proprietary model and features a customizable framework for web navigation and data analysis. However, while it performs reasonably well, it has not yet matched OpenAI's more advanced offerings.

OpenAI stakes claim in AI hardware and robotics. OpenAI has submitted a trademark application suggesting a shift towards developing artificial intelligence-integrated hardware, including smartwatches and humanoid robots. This aligns with the company's ongoing robotics endeavors and its collaboration on hardware with designer Jony Ive. Although consumer-ready products are still years away, this move indicates OpenAI's ambition to embed AI directly into physical devices.

Google DeepMind lays down new AI safety rules to keep machines from gaming the system. Google DeepMind has tightened its Frontier Safety Framework to prevent AI systems from outmaneuvering human oversight. The framework introduces "Critical Capability Levels," which outline thresholds for system risks. OpenAI and Anthropic are also actively exploring new strategies to ensure AI aligns with safety expectations, but concerns about AI self-improvement persist.

In the realm of tools, four new AI technologies make headlines. Among these is a tool to create custom landing pages powered by artificial intelligence, which promises no coding required and full customization. Another notable entry is ZeroPath, which utilizes AI to enhance security for developers by identifying vulnerabilities in their code. Additionally, CICube offers deep insights into managing CI costs across multiple tools and teams, further streamlining development processes.

That wraps up today's news. Stay tuned and keep an eye on the ever-evolving world of artificial intelligence; there's always something exciting around the corner!

Hugging Face Takes Aim at OpenAI with New Open-Source Tool as Tech Giants Advance in AI Hardware and Safety Measures

The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast.

As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.

Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.

We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.

Milenio Opinión es un espacio que recopila las firmas de los columnistas y colaboradores de Grupo Milenio.

New tracks tagged #Google DeepMind